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On the principles of Parsimony and Self-consistency for the emergence of intelligence Position Paper

Yi MA, Doris TSAO, Heung-Yeung SHUM

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 9,   Pages 1298-1323 doi: 10.1631/FITEE.2200297

Abstract: Ten years into the revival of and artificial , we propose a theoretical framework that sheds light on understanding within a bigger picture of in general. We introduce two fundamental principles, and , which address two fundamental questions regarding : what to learn and how to learn, respectively. We believe the two principles serve as the cornerstone for the emergence of , artificial or natural. While they have rich classical roots, we argue that they can be stated anew in entirely measurable and computable ways. More specifically, the two principles lead to an effective and efficient computational framework, compressive , which unifies and explains the evolution of modern and most practices of artificial . While we use mainly visual data modeling as an example, we believe the two principles will unify understanding of broad families of autonomous intelligent systems and provide a framework for understanding the brain.

Keywords： Intelligence     Parsimony     Self-consistency     Rate reduction     Deep networks     Closed-loop transcription    

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Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Engineering doi: 10.1016/j.eng.2023.04.016

Abstract: The consensus of the automotive industry and traffic management authorities is that autonomous vehicles must follow the same traffic laws as human drivers. Using formal or digital methods, natural language traffic rules can be translated into machine language and used by autonomous vehicles. In this paper, a translation flow is designed. Beyond the translation, a deeper examination is required, because the semantics of natural languages are rich and complex, and frequently contain hidden assumptions. The issue of how to ensure that digital rules are accurate and consistent with the original intent of the traffic rules they represent is both significant and unresolved. In response, we propose a method of formal verification that combines equivalence verification with model checking. Reasonable and reassuring digital traffic rules can be obtained by utilizing the proposed traffic rule digitization flow and verification method. In addition, we offer a number of simulation applications that employ digital traffic rules to assess vehicle violations. The experimental findings indicate that our digital rules utilizing metric temporal logic (MTL) can be easily incorporated into simulation platforms and autonomous driving systems (ADS).

Keywords： Autonomous driving     Traffic rules     Digitization     Formalization     Verification    

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Exploring self-organization and self-adaption for smart manufacturing complex networks

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 206-222 doi: 10.1007/s42524-022-0225-1

Abstract: In this context, this paper investigates the mechanisms and methodology of self-organization and self-adaptionSubsequently, analytical target cascading is used to formulate the processes of self-organizing optimalconfiguration and self-adaptive collaborative control for multilevel key manufacturing resources whilework potentially enables managers and practitioners to implement active perception, active response, self-organization, and self-adaption solutions in discrete manufacturing enterprises.

Keywords： cyber–physical systems     Industrial Internet of Things     smart manufacturing complex networks     self-organizationand self-adaption     analytical target cascading     collaborative optimization    

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Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Frontiers in Energy   Pages 727-750 doi: 10.1007/s11708-023-0896-2

Abstract: A thorough analysis of triboelectric nanogenerators (TENGs) that make use of self-healable nanomaterialsTENGs, on the other hand, provide unique opportunities for future self-powered systems and might encourageExamining the many approaches used to improve nanogenerators by employing materials with shape memory and self-healableAdditionally, the cost-effectiveness, social acceptability, and regulatory implications of self-healing

Keywords： triboelectric nanogenerator (TENG)     self-healable nanomaterials     self-powered devices     energy    

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Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Frontiers of Mechanical Engineering 2007, Volume 2, Issue 1,   Pages 116-119 doi: 10.1007/s11465-007-0020-z

Abstract: This paper proposes a novel, hermaphroditic, and lattice self-reconfigurable modular robot.

Keywords： compact     self-reconfigurable modular     hermaphroditic     cone-shaped     clutch    

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: The structure and principle of a new type of a diphase opposition giant magnetostrictive self-sensingDynamic balance separation technology for the giant magnetostrictive self-sensing actuator comes trueby the least means square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm     design of self-adaptive circuit    

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Behaviour of self-centring shear walls——A state of the art review

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 53-77 doi: 10.1007/s11709-022-0850-0

Abstract: application of unbonded post-tensioning (PT) in structural walls has led to the development of advanced self-centringIn this research a comprehensive state-of-the-art literature review was performed on self-centring shearAn extensive study was carried out to collect a database of 100 concrete, masonry, and self-centringwalls, ductility, and seismic response factors, were critically reviewed and analysed for different self-centringThe outcome of this research can be used to better understand the behaviour of self-centring wall system

Keywords： self-centring shear walls     rocking walls     energy dissipation     seismic performance factors     PT loss     residual    

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Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Frontiers of Structural and Civil Engineering 2013, Volume 7, Issue 4,   Pages 419-428 doi: 10.1007/s11709-013-0224-8

Abstract: differences in mixture design, placement and consolidation techniques, the strength and durability of Self

Keywords： Self Compacting Concrete (SCC)     recycle glass     fine aggregate     fresh and hardened properties    

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Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 3,   Pages 515-525 doi: 10.1007/s11709-018-0494-2

Abstract: This paper presents the effect on compressive strength and self-healing capability of bacterial concreteThe influence of this addition on compressive strength, self-healing capability of cracks is highlightedcalcium lactate in bio-concrete which is quite impressive for improving the compressive strength and self-healing

Keywords： calcium lactate     bacillus subtilis     compressive strength     self-healing of cracks    

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Computational fluid dynamic analysis of flutter characteristics for self-anchored suspension bridges

ZHU Zhiwen, WANG Zhaoxiang, CHEN Zhengqing

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 3,   Pages 267-273 doi: 10.1007/s11709-008-0034-6

Abstract: The proposed methods are employed to identify flutter derivatives of the bridge deck of the Sanchaji Self-anchored

Keywords： discretization     computational     description     Self-anchored Suspension     simulation applicable    

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Effects of solvents and temperature on spherulites of self-assembled phloroglucinol tristearate

Yawen Yao, Sabine Rosenfeldt, Kai Zhang

Frontiers of Chemical Science and Engineering 2020, Volume 14, Issue 3,   Pages 389-396 doi: 10.1007/s11705-019-1911-3

Abstract: solvents did not affect the formation of lamellas, the solvents played a crucial role in the formation of self-assembled

Keywords： phloroglucinol     tristearate     aprotic and protic solvent     self-assembly     spherulites    

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Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 4,   Pages 926-936 doi: 10.1007/s11709-019-0527-5

Abstract: In this paper, an empirical model based on self-evolving neural network is proposed for predicting the

Keywords： ferrocement     moment capacity     self-evolving neural network    

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Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Frontiers of Structural and Civil Engineering 2008, Volume 2, Issue 1,   Pages 43-48 doi: 10.1007/s11709-008-0011-0

Abstract: To mitigate the seismic response of self-anchored suspension bridges, equations of motion governing thecorresponding computer program is developed and employed for studying the seismic response control of a self-anchored

Keywords： longitudinal displacement     corresponding computer     excitation     phenomenological     self-anchored suspension    

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Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: ., multi-input self-organizing-map ResNet (MISR), for modeling refining units comprised of two reactorsThe model is comprised of self-organizing-map and the neural network parts.The self-organizing-map part maps the input data into multiple two-dimensional planes and sends themstructure predicts more accurately the product yields and properties than the previously introduced self-organizing-map

Keywords： hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

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Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Frontiers in Energy 2023, Volume 17, Issue 4,   Pages 527-544 doi: 10.1007/s11708-023-0880-x

Abstract: Therefore, a fault detection method based on self-supervised feature learning was proposed to addressFirst, self-supervised learning was employed to extract features under various working conditions onlyThe self-supervised representation learning uses a sequence-based Triplet Loss.

Keywords： fault detection     unary classification     self-supervised representation learning     multivariate nonlinear    

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Title Author Date Type Operation

On the principles of Parsimony and Self-consistency for the emergence of intelligence

Yi MA, Doris TSAO, Heung-Yeung SHUM

Journal Article

Semantic Consistency and Correctness Verification of Digital Traffic Rules

Lei Wan,Changjun Wang,Daxin Luo,Hang Liu,Sha Ma,Weichao Hu,

Journal Article

Exploring self-organization and self-adaption for smart manufacturing complex networks

Journal Article

Emerging trends in self-healable nanomaterials for triboelectric nanogenerators: A comprehensive review

Journal Article

Modular structure of a self-reconfigurable robot

FEI Yanqiong, DONG Qinglei, ZHAO Xifang

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Behaviour of self-centring shear walls——A state of the art review

Journal Article

Recycled glass replacement as fine aggregate in self-compacting concrete

Yasser SHARIFI, Mahmoud HOUSHIAR, Behnam AGHEBATI

Journal Article

Effect of calcium lactate on compressive strength and self-healing of cracks in microbial concrete

Kunamineni VIJAY, Meena MURMU

Journal Article

Computational fluid dynamic analysis of flutter characteristics for self-anchored suspension bridges

ZHU Zhiwen, WANG Zhaoxiang, CHEN Zhengqing

Journal Article

Effects of solvents and temperature on spherulites of self-assembled phloroglucinol tristearate

Yawen Yao, Sabine Rosenfeldt, Kai Zhang

Journal Article

Estimating moment capacity of ferrocement members using self-evolving network

Abdussamad ISMAIL

Journal Article

Investigations concerning seismic response control of self-anchored suspension bridge with MR dampers

YANG Menggang, HU Jianhua

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Unknown fault detection for EGT multi-temperature signals based on self-supervised feature learning and

Journal Article